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Your search keyword '"Cai, Huanhuan"' showing total 241 results
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241 results on '"Cai, Huanhuan"'

2. Neural mechanism underlying the beneficial effect of Theory of Mind psychotherapy on early-onset schizophrenia: a randomized controlled trial

Author

Liu, Siyu, Zhong, Hui, Qian, Yinfeng, Cai, Huanhuan, Jia, Yan-Bin, and Zhu, Jiajia

Subjects
Medical research -- Health aspects, Medicine, Experimental -- Health aspects, Schizophrenia in children -- Health aspects, Psychotherapy -- Health aspects, Clinical trials -- Health aspects, Medical imaging equipment -- Health aspects, Health, Psychology and mental health
Abstract

Background: Psychosocial interventions have emerged as an important component of a comprehensive therapeutic approach in early-onset schizophrenia, typically representing a more severe form of the disorder. Despite the feasibility and efficacy of Theory of Mind (ToM) psychotherapy for schizophrenia, relatively little is known regarding the neural mechanism underlying its effect on early-on-set schizophrenia. Methods: We performed a randomized, active controlled trial in patients with early-onset schizophrenia, who were randomly allocated into either an intervention (ToM psychotherapy) or an active control (health education) group. Diffusion tensor imaging data were collected to construct brain structural networks, with both global and regional topological properties measured using graph theory. Results: We enrolled 28 patients with early-onset schizophrenia in our study. After 5 weeks of treatment, both the intervention and active control groups showed significant improvement in psychotic symptoms, yet the improvement was greater in the intervention group. Importantly, in contrast with no brain structural network change after treatment in the active control group, the intervention group showed increased nodal centrality of the left insula that was associated with psychotic symptom improvement. Limitations: We did not collect important information concerning the participants' cognitive abilities, particularly ToM performance. Conclusion: These findings suggest a potential neural mechanism by which ToM psychotherapy exerts a beneficial effect on early-onset schizophrenia via strengthening the coordination capacity of the insula in brain structural networks, which may provide a clinically translatable biomarker for monitoring or predicting responses to ToM psychotherapy. Clinical trial registration: NCT05577338; ClinicalTrials.gov, Introduction Schizophrenia is a chronic mental disorder expressed as a complex behavioural syndrome with a heterogeneous combination of psychotic symptoms (e.g., delusions, hallucinations and disorganization) and cognitive dysfunctions, which may [...]

Published
2023
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23. Coordinated TDMA MAC Scheme Design and Performance Evaluation for the Next Generation WLAN: IEEE 802.11be

Author

Cai, Huanhuan, Li, Bo, Yang, Mao, Yan, Zhongjiang, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Lin, Yi-Bing, editor, and Deng, Der-Jiunn, editor

Published
2021
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24. Major vault protein regulates tumor-associated macrophage polarization through interaction with signal transducer and activator of transcription 6

Author

Yu, Chen, primary, Zhu, Qingmei, additional, Ma, Caijiao, additional, Luo, Chuanjin, additional, Nie, Longyu, additional, Cai, Huanhuan, additional, Wang, Qiming, additional, Wang, Fubing, additional, Ren, Hong, additional, Yan, Huan, additional, Xu, Ke, additional, Zhou, Li, additional, Zhang, Caiyan, additional, Lu, Guoping, additional, Lu, Zhibing, additional, Zhu, Ying, additional, and Liu, Shi, additional

Published
2024
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26. Arrival Prediction Based Reservation MAC for the Next Generation WLAN

Author

Cai, Huanhuan, Li, Bo, Yang, Mao, Yan, Zhongjiang, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Li, Bo, editor, Zheng, Jie, editor, Fang, Yong, editor, Yang, Mao, editor, and Yan, Zhongjiang, editor

Published
2020
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47. Additional file 1 of Sex-dependent gut microbiota-brain-cognition associations: a multimodal MRI study

Author

Zhang, Shujun, Cai, Huanhuan, Wang, Chunli, Zhu, Jiajia, and Yu, Yongqiang

Abstract

Additional file 1: Figure S1. Species accumulation curves. Figure S2. Sex differences in the associations between Simpson index and GMV. Figure S3. Sex differences in the associations between Simpson index and CBF. Figure S4. Sex differences in the associations of FCS with Sobs and Ace indices. Figure S5. Sex differences in the associations of diffusion parameters with Sobs and Ace indices. Table S1. Correlations between alpha diversity indices. Table S2. Sex differences in the associations between Shannon index and brain imaging measures after additional adjustment for education and BMI. Table S3. Sex differences in the associations between Chao index and brain imaging measures after additional adjustment for education and BMI.

Published
2023
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50. Learning discriminative features for semi-supervised person re-identification

Author

Lei Huang, Cai Huanhuan, Wenfeng Zhang, and Zhiqiang Wei

Subjects
Network architecture, Computer Networks and Communications, business.industry, Computer science, Pattern recognition, Discriminative model, Hardware and Architecture, Feature (computer vision), Media Technology, Identity (object-oriented programming), Benchmark (computing), Segmentation, Artificial intelligence, Focus (optics), Representation (mathematics), business, Software
Abstract

We focus on the one-example person re-identification (Re-ID) task, where each identity has only one labeled example along with many unlabeled examples. Since each identity has only one labeled example, the number of initialized label examples is small, and the body parts of person are not aligned due to changes in person pose and camera angle under the camera. Therefore, the distinguishing information of learning labeled and unlabeled examples is challenging. To overcome these problems, we propose an end-to-end multi-task training network for semi-supervised Re-ID. First, we impose a part segmentation (PS) constraint on feature maps, forcing a module to predict part labels from the feature maps and enhance alignment. Second, we carefully design the network named Multiple Branch Network (MBN). MBN is a multi-branch deep network architecture, which consisting of one branch for global feature representation and two branches for local feature representation, local feature representation that including horizontal stripes representation and PS representation, respectively. Finally, loss function fusion is designed to learn discriminative features for semi-supervised Re-ID. Specifically, the MBN model is optimized by mining the object classification loss, exclusive loss and PS loss simultaneously. We validate the effectiveness of our approach by demonstrating its superiority over the state-of-the-art methods on the standard benchmark datasets, including Market-1501, DukeMTMC-reID. Notably, the rank-1 accuracy of our method outperforms the state-of-the-art method by 15.9 points (absolute, i.e., 71.7% vs. 55.8%) on Market-1501 and 8.9 points on DukeMTMC-reID.

Published
2021

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